code: def _verify_np_symbol(op_name, func_name, sym):
      """Verify if the sym is a numpy symbol.
  
      Parameters
      ----------
      op_name : str
          Operator full name registered in backend.
      func_name : str
          Operator name exposed to users. This is usually the name by stripping off
          the prefix of the full operator names registered in backend.
      sym : symbol to be verified
      """
      from .numpy._symbol import _Symbol as np_symbol
  
      if not isinstance(sym, np_symbol):
          raise TypeError(
              "Operator `{}` registered in backend is known as `{}` in Python. "
              "This is a numpy operator which can only accept "
              "MXNet numpy ndarrays, while received a legacy ndarray. "
              "Please ensure that you have activated numpy semantics by calling "
              "`npx.set_np()` in your code. If you still see this error with numpy "
              "semantics activated, please call `as_np_ndarray()` upon the legacy "
              "ndarray to convert it to an MXNet numpy ndarray, and then feed the "
              "converted array to this operator.".format(
                  op_name, func_name
              )
          )
  
file_path: mxnet/python/mxnet/symbol/register.py
imports: import os
  import ctypes
  import numpy
  from .None import _internal
  from ..None import name, attribute
  from ._internal import SymbolBase, _symbol_creator
  from ..base import mx_uint, check_call, _LIB, py_str
  from ..symbol_doc import _build_doc
  from ..base import _Null, _init_op_module, _is_np_op, _output_is_list
  from ..name import NameManager
  from ..profiler import _current_scope
  from ..ndarray import get_dtype_name
  from .contrib import adamw_update, mp_adamw_update
  from ._internal import _adamw_update, _mp_adamw_update
label_desc: Use image node_id 1 for calling a global function with example usage: _verify_np_symbol(op_name, func_name, sym) without return types